Programs
- M. Tech. in Automotive Engineering -Postgraduate
- B.Sc. (Honours) in Microbiology and lntegrated Systems Biology -
Publication Type : Journal Article
Source : Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety
Campus : Bengaluru
School : School of Computing
Abstract : The Secure Women Safety Platform envisions a decentralised application on the Ethereum blockchain, merging AI, IoT, and blockchain technologies to tackle societal safety challenges. Through Ethereum’s blockchain, it ensures tamper-proof identity management, empowering users with control over their data. IoT wearables equipped with GPS and sensors enable real-time tracking and swift response to emergencies, while AI-driven anomaly detection analyses user behaviour patterns for proactive threat identification. An emergency alert system triggers timely notifications to contacts and authorities, enhancing user safety. User-centric data management safeguards privacy, with Ethereum’s blockchain facilitating secure access permissions. Crowdsourced safety ratings and incident reporting foster a collaborative ecosystem, with blockchain’s immutability ensuring data integrity. This holistic solution advances women’s safety, setting a precedent for future innovations in personal security by combining AI, IoT, and cloud computing within a decentralised framework.
Cite this Research Publication : Rajagopal, Shinu M., M. Supriya, and Rajkumar Buyya. "Secure Women's Safety Platform Using Ethereum Blockchain." In Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety, pp. 41-54. Chapman and Hall/CRC, 2024.